小波降噪影响因素的研究  

A Study about the Influencing Factors for Wavelet De-noising

作　　者：邓懿波[1] 谭志洪[1] 黄媛[1] 

机构地区：[1]南昌大学环化学院过控专业,江西南昌330029

出　　处：《华东交通大学学报》2005年第2期161-164,共4页Journal of East China Jiaotong University

摘　　要：信号降噪是回转机械故障诊断和信号处理中的重要课题,其实现方法也多种多样,小波降噪是近来才兴起的一种非常有潜力的降噪方法,本文介绍了小波分析的基本理论和小波降噪机理及其主要步骤,通过对回转机械典型故障信号的仿真分析,讨论了小波降噪过程中的主要影响因素,如母小波类型、阀值选取策略、分解层数等,得出了一些有价值的规律和原则.Signal de-noising is one of the most important project in fault diagnosis and signal processing for rotating machinery. It could be carried out in a lot of ways. Wavelet de-noising, which is becoming popular recently, is a very promising method for this purpose. This article mainly introduced basis of wavelet theory and wavelet de-noising and its application. There are a lot of factors which will affect the de-noising efficacy, such as wavelet type, threshold strategy, decomposition level and so on. Some valuable rules was discovered by the analysis of simulated typical fault signals of rotating machinery.

关 键 词：小波降噪 机械故障诊断 信号处理 信号降噪 降噪方法 降噪机理 小波分析 仿真分析 故障信号 回转机械 母小波 

分 类 号：TN911.7[电子电信—通信与信息系统] TP277[电子电信—信息与通信工程]